Customs Risk Assessment Based on Unsupervised Anomaly Detection Using Autoencoders.
Dion T. OostermanWouter H. LangenkampEllen L. van BergenPublished in: IntelliSys (1) (2021)
Keyphrases
- risk assessment
- unsupervised anomaly detection
- anomaly detection
- network security
- intrusion detection
- semi supervised
- denoising
- information security
- risk management
- intrusion detection system
- network traffic
- risk analysis
- risk factors
- pattern mining
- decision making
- data mining
- emergency management
- unsupervised learning
- rough sets
- economic impact
- power plant
- neural network
- real world
- computer networks
- knowledge base
- data sets
- feature selection
- maximum likelihood
- active learning
- pairwise